{"id":"W2985238968","doi":"10.1007/s10551-019-04345-y","title":"Strategic Responses to Grand Challenges: Why and How Corporations Build Community Resilience","year":2019,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Cape Town; National Research Foundation","keywords":"Resilience (materials science); Business ethics; Commit; Grand Challenges; Counterfactual thinking; Public relations; Community resilience; Process (computing); Business; Psychological resilience; Sociology; Political science; Social psychology; Psychology; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003138324,0.0001923259,0.000323622,0.0005599914,0.0004335562,0.0005485874,0.0005060114,0.0001463489,0.00003405909],"category_scores_gemma":[0.0009511972,0.0001510039,0.00006038684,0.0007747851,0.0001486199,0.001482463,0.0002468511,0.0009632354,0.00003285529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000277023,"about_ca_system_score_gemma":0.0001238576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002307639,"about_ca_topic_score_gemma":0.0005178094,"domain_scores_codex":[0.9984773,0.0001439221,0.0003304826,0.0001747608,0.000631991,0.0002415094],"domain_scores_gemma":[0.9972512,0.0005535022,0.0005269097,0.00036809,0.001262337,0.00003795324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.005817732,0.002940737,0.2551624,0.01436808,0.0007148001,0.0008112034,0.02012607,0.0339025,0.01300309,0.5534717,0.06001622,0.03966543],"study_design_scores_gemma":[0.004469309,0.000579936,0.4964255,0.00263525,0.0004131753,0.0001860029,0.0707289,0.002207709,0.0001696907,0.07750579,0.3430266,0.001652168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138303,0.000698162,0.001698135,0.08009311,0.0006858648,0.000311455,0.000001965871,0.00002908552,0.002651928],"genre_scores_gemma":[0.9933475,0.001338647,0.0003847294,0.004108336,0.0004278056,0.00000395224,0.00000241998,0.00001954521,0.0003670941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4759659,"threshold_uncertainty_score":0.6157759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1271960930279698,"score_gpt":0.296829632955375,"score_spread":0.1696335399274052,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}